Agriculture
21 columns
200 rows
8 formats

Agtech Crop Yield Prediction

This dataset provides comprehensive field-level crop yield records, including agronomic, environmental, and management features such as soil properties, fertilizer and pesticide usage, irrigation type, and weather data. Designed for agtech product development and predictive modeling, it enables robust analysis of yield drivers, optimization strategies, and spatial variability across agricultural regions.

opened 12 times
last updated 20 Aug 2025
by GoMask

The brief that made it

Crop yield prediction and modeling

Sample rows

preview · 8 of 200 rows · all 21 columns

field_idstring	soil_typestring	soil_organic_matter_pctfloat	crop_typestring	planting_datedate	harvest_datedate	yield_kg_per_hectarefloat	field_area_hectaresfloat	soil_phfloat	irrigation_typestring	fertilizer_typestring	fertilizer_amount_kg_per_hectarefloat	pesticide_typestring	pesticide_amount_liters_per_hectarefloat	avg_temperature_cfloat	total_precipitation_mmfloat	field_latitudefloat	field_longitudefloat	field_elevation_metersfloat	field_ownerstring	notesstring
F001-2024A	loam	3.2	corn	2024-03-25	2024-09-20	8700.5	15.3	6.4	drip	NPK	150	herbicide	2.5	22.3	510	41.5967	-93.6053	287	AgriMax Farms	Excellent emergence, no flooding.
F002-2024B	silt	2.9	wheat	2023-10-05	2024-06-18	6900	22.1	7.1	sprinkler	organic	95.5	fungicide	1.4	16.7	420	37.2164	-100.2556	768	Golden Valley Group	Late spring frost, moderate weed pressure.
F003-2024C	clay	4.1	soybeans	2024-05-03	2024-10-12	3700.8	10.7	5.8	rainfed	NPK	110	none	0	21.2	610.6	40.8965	-89.6247	142	Midwest Soy Inc.	No pest outbreaks recorded.
F004-2024D	peat	8.8	rice	2024-04-17	2024-09-30	9600.2	9.2	6.9	flood	NPK	180	insecticide	2	26.8	730.2	29.8967	91.2055	1.2	Louisiana Rice Co.	Flooding in May, high yields expected.
F005-2024E	chalk	2.5	barley	2024-03-30	2024-07-14	5400	5.4	7.7	rainfed	organic	82	herbicide	1.1	14.2	350.8	51.0582	-1.3123	112	Barley Bros Ltd.	Dry spring, average yield.
F006-2024F	sandy	1.8	cotton	2024-04-02	2024-10-05	1650.3	20	5.4	sprinkler	NPK	95	insecticide	2.3	29.1	210	33.7456	-84.3241	305	CottonFields LLC	Early pest pressure, controlled by June.
F007-2024G	loam	3.5	corn	2024-04-10	2024-09-18	9500.7	17.1	6.7	drip	NPK	162	fungicide	2.9	23.7	590	42.7845	-92.9334	301	AgriMax Farms	High yield, no disease pressure.
F008-2024H	silt	3.7	soybeans	2024-05-13	2024-10-24	3150.5	12.3	6.2	rainfed	organic	70	herbicide	1.5	19.6	620.5	39.7889	-94.7942	204	Midwest Soy Inc.	Weed control successful.
F009-2024I	clay	2.1	corn	2024-03-20	2024-09-15	8100	18.6	5.6	sprinkler	NPK	145	insecticide	2.8	20.2	550	38.1234	-90.2341	122	AgriMax Farms	Good stand, moderate pest pressure.
F010-2024J	loam	2.6	wheat	2023-09-28	2024-06-08	6700.2	25.2	7.3	rainfed	organic	80	fungicide	1.8	17.2	340	53.1101	-1.7891	154	Golden Valley Group	Rust detected in late May.
F011-2024K	peat	9.1	rice	2024-05-01	2024-10-03	9000	8.3	6.5	flood	NPK	175	herbicide	1.9	27.4	810.2	30.1026	90.9427	2.1	Louisiana Rice Co.	Flooding in June, high organic matter.
F012-2024L	chalk	1.9	barley	2024-03-28	2024-07-10	5100	7.7	8.1	rainfed	organic	83.2	herbicide	1.2	13.8	320	52.1412	-0.3331	93	Barley Bros Ltd.	Dry season, increased fertilizer use.
F013-2024M	sandy	1.5	cotton	2024-04-07	2024-10-12	1450	22.5	5.9	sprinkler	NPK	88	insecticide	2.7	30.5	205	34.0012	-83.9874	298	CottonFields LLC	Pest infestation in July.
F014-2024N	loam	3.8	corn	2024-04-20	2024-09-28	8900	14.8	6.8	drip	NPK	159	herbicide	2.6	24	580	41.2718	-92.8251	293	AgriMax Farms	Early weed pressure, good recovery.
F015-2024O	silt	3.2	soybeans	2024-05-20	2024-10-27	3420	13.6	6	rainfed	none	0	none	0	19.1	642	40.4123	-95.1245	118	Midwest Soy Inc.	Organic field, no chemicals applied.
F016-2024P	peat	10.1	rice	2024-05-25	2024-10-20	9200	11	7	flood	NPK	170	fungicide	2.1	28.1	850	29.9834	91.6047	2.4	Louisiana Rice Co.	High rainfall, minor fungal issues.
F017-2024Q	silt	2.7	barley	2024-04-02	2024-07-16	5350	6.2	7.5	rainfed	organic	90	herbicide	1.3	15	340	50.1222	-2.1123	98	Barley Bros Ltd.	Good quality barley, slightly dry season.
F018-2024R	sandy	2	cotton	2024-03-25	2024-09-28	1550	19.8	6.3	sprinkler	NPK	92	none	0	28.7	216	33.9034	-85.0021	299	CottonFields LLC	No pesticide needed, low pest pressure.
F019-2024S	clay	2.8	corn	2024-03-29	2024-09-26	8450	17.9	6.2	drip	NPK	148	herbicide	2.7	21.5	518.5	39.8574	-90.2567	138	AgriMax Farms	Uniform emergence, weed control applied.
F020-2024T	loam	2.4	wheat	2023-10-12	2024-06-22	6775	20.1	7	rainfed	organic	78	fungicide	1.6	15.9	402	52.2357	-1.6945	116	Golden Valley Group	Early fungal disease, controlled.

What the 200 rows show

from the 200-row sample

Peat (soil type) stands out: mean soil_organic_matter_pct is 10.6, against 3.2 for the rest.

3.3median soil_organic_matter_pct
4fertilizer types
5irrigation types
5pesticide types
4,924median yield_kg_per_hectare
16.2median field_area_hectares

Mean soil_organic_matter_pct by soil_type200 rows

soil_organic_matter_pct200 rows, in bands of 2

Median 3.3, from 0.90 to 14.5.

crop_type200 rows · 7 values

corn38
rice33
cotton33
wheat32
barley31
soybeans30
other3

21 columns by typefrom the column list below

string 8
float 11
date 2

Columns

21 columns in three groups

blueprint · 21 columns
column	type	description	example
Text 8 columns
`field_id`	string	Unique identifier for the agricultural field or plotunique	F001-2024A
`crop_type`	string	Type of crop grown in the field (e.g., corn, wheat, soybeans)7 values	corn
`soil_type`	string	Dominant soil type in the field (e.g., loam, clay, sandy)7 values	loam
`irrigation_type`	string	Type of irrigation used (e.g., drip, sprinkler, flood, rainfed)drip · sprinkler · flood · rainfed · other	drip
`fertilizer_type`	string	Type of fertilizer applied (e.g., NPK, organic, none)NPK · organic · none · other · optional	NPK
`pesticide_type`	string	Type of pesticide applied (e.g., herbicide, insecticide, fungicide, none)herbicide · insecticide · fungicide · none · other · optional	herbicide
`field_owner`	string	Name or identifier of the field owner or manageroptional	AgriMax Farms
`notes`	string	Additional notes or observations about the field or crop seasonoptional	Weed control successful.
Numbers 11 columns
`yield_kg_per_hectare`	float	Measured crop yield in kilograms per hectare0 or more	8700.5
`field_area_hectares`	float	Size of the field in hectares0.01 or more	15.3
`soil_ph`	float	Measured soil pH value3.5 to 9.5 · optional	6.4
`soil_organic_matter_pct`	float	Percentage of organic matter in the soil0 to 100 · optional	3.2
`fertilizer_amount_kg_per_hectare`	float	Amount of fertilizer applied per hectare0 or more · optional	150
`pesticide_amount_liters_per_hectare`	float	Amount of pesticide applied per hectare0 or more · optional	2.5
`avg_temperature_c`	float	Average temperature during the growing season (Celsius)-20 to 50 · optional	22.3
`total_precipitation_mm`	float	Total precipitation during the growing season (millimeters)0 or more · optional	510
`field_latitude`	float	Latitude coordinate of the field center-90 to 90	41.5967
`field_longitude`	float	Longitude coordinate of the field center-180 to 180	-93.6053
`field_elevation_meters`	float	Elevation of the field above sea level (meters)-400 to 9,000 · optional	287
Dates and times 2 columns
`planting_date`	date	Date when the crop was planted	2024-03-25
`harvest_date`	date	Date when the crop was harvestedoptional	2024-09-20

Use it for

An agriculture dashboard
Soil_organic_matter_pct by soil_type and a breakdown of crop_type. Excel, Power BI or Tableau.
Why do the 32 peat rows have a mean soil_organic_matter_pct of 10.6?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Fields200
F001-2024A3.2loam
F002-2024B2.9silt
F003-2024C4.1clay
A software demo
Believable fields with crop_type, planting_date and harvest_date to fill a screen in front of a buyer.

This dataset200 rows21 columns

Yours10,000 rows21 columns

blueprint · agtech-crop-yield-prediction

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 21 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Include crop type and location
Track yield per hectare
Segment by fertilizer usage
Flag yield anomalies

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: agtech-crop-yield-prediction

What should your data show?

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Sample rows

What the 200 rows show

Columns

Use it for

An agriculture dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Agriculture

What should your data show?